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Software Development Partner. Result-driven. Quality-obsessed.
Principal AI Engineer – Video Analytics, C#, Python
Location
Brazil
Posted
160 days ago
Salary
0
Seniority
Lead
Job Description
Principal AI Engineer – Video Analytics, C#, Python
Dev.Pro
• Collaborate with top engineers on an innovative, technically challenging computer vision project • Build impactful systems that enhance safety across large fleets and industrial operations • Gain hands-on experience with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring • Develop and optimize GPU-accelerated video inference pipelines for real-time processing • Implement, evaluate, and improve object detection models (YOLO or similar) • Build temporal smoothing and tracking logic for safety event detection • Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools • Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services • Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs • Collaborate on dataset curation, labeling, model training, validation, and experiment tracking • Support containerized deployments (Docker) and assist with monitoring and scaling production workload
Job Requirements
- 7+ years of software engineering experience with strong backend skills
- 3+ years of experience shipping computer vision solutions to production
- Strong Python proficiency
- Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations
- Hands-on experience with YOLO/Ultralytics or similar object detection frameworks
- Experience detecting, labeling, and tracking objects in video
- Solid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation
- Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning)
- Ability to communicate and collaborate effectively with engineering and product teams
- Upper-Intermediate+ English level
- Experience with Azure Event Hub, Blob Storage, Application Insights, or similar
- Familiarity with Docker, cloud deployments, and production monitoring systems
- Experience in temporal/sequence analysis for event detection
- Experience with video analytics in safety, compliance, or industrial/transportation environments
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